Results 161 to 170 of about 1,869 (239)

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 8, August 2026.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi   +5 more
wiley   +1 more source

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment

open access: yesCancer Medicine, Volume 15, Issue 8, August 2026.
This review explores how AI and multimodal data fusion transform oncology through enhanced screening, precision diagnosis, and personalized therapy. By dissecting core challenges—including data bias and explainability—it provides a strategic framework for the digital transformation and ethical implementation of AI in clinical cancer care.
Yifeng Xie   +6 more
wiley   +1 more source

The Antimycobacterial Activity, Toxicity and Chemical Composition of South African Propolis

open access: yesChemistry &Biodiversity, Volume 23, Issue 8, August 2026.
This study presents one of the largest geographically diverse propolis collections reported globally, comprising 109 samples sourced from eight provinces across South Africa. The novelty of this work lies in the fact that it presents the first investigation of South African propolis against M. tuberculosis.
Nyiko F. Mzimba   +6 more
wiley   +1 more source

Development of a wireless bioelectronic actuator for wound healing in a porcine model. [PDF]

open access: yesSci Rep
Baniya P   +22 more
europepmc   +1 more source

Reproducible Ozaki‐Based Matrix Multiplication on Photonic Matrix Processors With Algorithm‐Based Fault Tolerance

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.
ABSTRACT Photonic matrix processors are attracting attention in applications such as AI inference due to their low‐power and low‐latency properties. However, their applicability has been largely limited to low‐precision computation due to inherent stochastic analog noise and device non‐idealities.
Shoichi Hirasawa, Michihiro Koibuchi
wiley   +1 more source

Understanding When Attention Helps: A Systematic Empirical Study of Attention Mechanisms in Medical Image Classification

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
We present a unified benchmark of fourteen attention mechanisms across multiple CNN backbones and diverse medical imaging datasets, revealing that attention effectiveness is highly scenario‐ and architecture‐dependent. The study provides practical, evidence‐based guidance for selecting attention designs that yield reliable performance gains in medical ...
Nujhat Raisa Arpa   +5 more
wiley   +1 more source

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